https://doi.org/10.4081/gh.2022.1080
Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020
Submitted: 9 February 2022
Accepted: 30 April 2022
Published: 17 May 2022
Accepted: 30 April 2022
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
The prevalence and use of contraceptive methods is an essential element to explain the behaviour of fertility and population growth. The objective of this study was to analyse the spatial correlation between the use of contraceptive methods in women of childbearing age and fertility levels observed in Mexico’s municipalities in 2020. Data on contraceptive use are from the National Survey of Demographic Dynamics (ENADID) 2018, while fertility rates were estimated from vital statistics and population census data. Three Bayesian spatial models including fixed effects, random effects and spatial effects were employed. The models were estimated using the integral nested Laplace approximation (INLA) package available in the R language. The results reveal the existence of important regional inequalities associated with the use and prevalence of contraceptive methods, which generate marked differences in observed levels of fertility between municipalities.
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How to Cite
Núñez Medina, G. . (2022). Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020. Geospatial Health, 17(1). https://doi.org/10.4081/gh.2022.1080
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